Description
Amazon is hiring an Applied Scientist for its Personalization team to build scalable machine-learning and generative-AI solutions for product recommendation services. The role involves analyzing large historical business data, designing and evaluating predictive models, implementing algorithms with software-engineering teams, automating model development and validation, and researching novel approaches. Candidates need at least three years of business-model-building experience, a PhD or master's degree with four years of relevant experience, programming experience in Java, C++, Python, or a related language, and experience with algorithms, data structures, optimization, data mining, parallel or distributed computing, or high-performance computing. The position is based in Seattle, Washington, with a base salary of 142,800 to 193,200 USD annually.
